Tag: Data Diversity
All the articles with the tag "Data Diversity".
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Competition Dynamics Shape Algorithmic Phases of In-Context Learning
This paper introduces a synthetic sequence modeling task using finite Markov mixtures to unify the study of in-context learning (ICL), identifying four competing algorithms that explain model behavior and phase transitions, thus offering insights into ICL's transient nature and phenomenology.